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* Add benchmark details.
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@ -216,10 +216,19 @@ spaCy gives you easy and efficient access to them, which lets you build all
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sorts of use products and features that were previously impossible.
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sorts of use products and features that were previously impossible.
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Efficiency
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Speed Comparison
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----------
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----------------
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.. table:: Efficiency comparison. See `Benchmarks`_ for details.
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**Set up**: 100,000 plain-text documents were streamed from an SQLite3
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database, and processed with an NLP library, to one of three levels of detail
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--- tokenization, tagging, or parsing. The tasks are additive: to parse the
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text you have to tokenize and tag it. The pre-processing was not subtracted
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from the times --- I report the time required for the pipeline to complete.
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I report mean times per document, in milliseconds.
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**Hardware**: Intel i7-3770 (2012)
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.. table:: Efficiency comparison. Lower is better.
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+--------------+---------------------------+--------------------------------+
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+--------------+---------------------------+--------------------------------+
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| | Absolute (ms per doc) | Relative (to spaCy) |
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| | Absolute (ms per doc) | Relative (to spaCy) |
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@ -266,8 +275,8 @@ representations.
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It's evaluated against the current best published systems, following the standard
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It's evaluated against the current best published systems, following the standard
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methodologies. These evaluations show that it performs extremely well.
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methodologies. These evaluations show that it performs extremely well.
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Accuracy
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Accuracy Comparison
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--------
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-------------------
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.. table:: Accuracy comparison, on the standard benchmark data from the Wall Street Journal.
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.. table:: Accuracy comparison, on the standard benchmark data from the Wall Street Journal.
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